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I am Sai Swetha, a Senior Full Stack Engineer with 7+ years of experience building scalable, high-performance applications across financial services and healthcare domains. I specialize in Java, Spring Boot, React, and TypeScript, with a passion for designing microservices architectures, event-driven systems, and low-latency APIs. I have hands-on experience with cloud-native development on AWS and Azure, containerization with Kubernetes, and AI-powered features using LLMs, LangChain, and RAG pipelines. I’m adept at collaborating with stakeholders, aligning security and compliance standards, and delivering reliable, scalable solutions in high-throughput production environments.…I am Sai Swetha, a Senior Full Stack Engineer with 7+ years of experience building scalable, high-performance applications across financial services and healthcare domains. I specialize in Java, Spring Boot, React, and TypeScript, with a passion for designing microservices architectures, event-driven systems, and low-latency APIs. I have hands-on experience with cloud-native development on AWS and Azure, containerization with Kubernetes, and AI-powered features using LLMs, LangChain, and RAG pipelines. I’m adept at collaborating with stakeholders, aligning security and compliance standards, and delivering reliable, scalable solutions in high-throughput production environments.

Sai Swetha

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I am Sai Swetha, a Senior Full Stack Engineer with 7+ years of experience building scalable, high-performance applications across financial services and healthcare domains. I specialize in Java, Spring Boot, React, and TypeScript, with a passion for designing microservices architectures, event-driven systems, and low-latency APIs. I have hands-on experience with cloud-native development on AWS and Azure, containerization with Kubernetes, and AI-powered features using LLMs, LangChain, and RAG pipelines. I’m adept at collaborating with stakeholders, aligning security and compliance standards, and delivering reliable, scalable solutions in high-throughput production environments.…I am Sai Swetha, a Senior Full Stack Engineer with 7+ years of experience building scalable, high-performance applications across financial services and healthcare domains. I specialize in Java, Spring Boot, React, and TypeScript, with a passion for designing microservices architectures, event-driven systems, and low-latency APIs. I have hands-on experience with cloud-native development on AWS and Azure, containerization with Kubernetes, and AI-powered features using LLMs, LangChain, and RAG pipelines. I’m adept at collaborating with stakeholders, aligning security and compliance standards, and delivering reliable, scalable solutions in high-throughput production environments.

Available to hire

I am Sai Swetha, a Senior Full Stack Engineer with 7+ years of experience building scalable, high-performance applications across financial services and healthcare domains. I specialize in Java, Spring Boot, React, and TypeScript, with a passion for designing microservices architectures, event-driven systems, and low-latency APIs.

I have hands-on experience with cloud-native development on AWS and Azure, containerization with Kubernetes, and AI-powered features using LLMs, LangChain, and RAG pipelines. I’m adept at collaborating with stakeholders, aligning security and compliance standards, and delivering reliable, scalable solutions in high-throughput production environments.

Skills

Experience Level

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Work Experience

Senior Full Stack Engineer at Bank of America

July 1, 2025 - Present

Built high-throughput Java microservices using Spring Boot, Kafka, and event-driven patterns, handling 2M+ daily transactions and improving trading workflow latency. Optimized multithreaded execution and tuned the JVM for sub-200ms response times at peak load, achieving ~40% throughput gains. Developed Python-based RAG pipelines with LangChain, FAISS, and FastAPI for secure LLM inference, reducing internal query resolution time by ~50%. Refined Oracle SQL queries and indexing for large datasets, cutting data retrieval time by ~45% and boosting reporting efficiency. Containerized microservices and AI workloads with Docker and Kubernetes, accelerating release cycles by ~60%. Collaborated with 10+ stakeholders to secure APIs and enforce enterprise security policies, reducing production defects by ~30%.

Full Stack Engineer at Cigna Healthcare

August 1, 2024 - June 30, 2025

Built scalable Java 17/Spring Boot microservices with REST APIs, increasing throughput by 30% and reducing API latency by 25% across healthcare systems. Delivered AI-driven clinical summarization using OpenAI, Claude, LangChain, and RAG pipelines, improving data accuracy by 35% and cutting manual review time by 40%. Enhanced React 18 and TypeScript apps with Redux Toolkit, boosting page load performance by 30%. Managed AWS deployments with Docker, Kubernetes, and CI/CD pipelines, reducing deployment time by 35% and improving release stability. Enabled real-time processing of 1M+ healthcare events daily by integrating Kafka streaming and Spring Cloud. Strengthened authentication and compliance using OAuth2, JWT, and encryption, achieving HIPAA compliance and reducing vulnerabilities by 40% via automated tests.

Graduate Research Assistant – Full Stack at University of Maryland - Baltimore County

January 1, 2023 - July 1, 2024

Built a retrieval-driven web application with a React frontend and Node.js backend to enable semantic search across biomedical datasets, using embedding-based retrieval with PyTorch/TensorFlow and LLM-assisted query understanding for improved search relevance. Designed REST APIs for search, indexing, and retrieval; integrated OpenAI APIs into a RAG pipeline to generate context-aware, citation-backed responses. Developed a lightweight Go service for efficient document ingestion and preprocessing; containerized and deployed on Azure Kubernetes Service (AKS). Employed AI-assisted development tools to accelerate prototyping, debugging, and documentation.

Software Engineer at Tech Mahindra

December 1, 2019 - August 31, 2022

Built event-driven microservices using Java 11, Spring Boot, and Kafka to process real-time patient data, reducing latency by 35% and supporting 1M+ daily records. Designed REST APIs and backend services with Spring Cloud and Hibernate enabling HL7/FHIR-based integrations and improving interoperability by 40%. Developed Angular/JavaScript front-end, reducing page load times by ~30%. Improved PostgreSQL and MongoDB performance via query tuning and indexing, reducing data retrieval times by 45% for datasets >5M. Migrated legacy monoliths to cloud-based microservices on AWS/Azure, cutting deployment time by 50% and achieving 99.9% uptime with CI/CD pipelines. Led a team of 4 engineers to deliver telehealth features with HIPAA-compliant security.

Junior Software Engineer at Freshworks

February 1, 2018 - November 30, 2019

Built RESTful microservices using Java 8 and Spring Boot; reduced API latency by 35% for high-volume SaaS workloads. Migrated core modules from a Ruby monolith to microservices with Hibernate and MySQL, reducing system coupling by 40%. Optimized MySQL queries and indexing, cutting execution time by 45% for transactional datasets. Introduced Redis caching for high-traffic endpoints, reducing DB load by 50% and maintaining sub-100ms response times. Contributed in Agile teams via Jira and Git to improve delivery speed by 25%. Automated build/deploy pipelines with Maven/Jenkins on AWS, reducing release time by 30%.